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About GoodLeap:
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap’s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.
GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.
About the Role
GoodLeap is building AI agents to empower professionals in the trades industries and homeowners to adopt sustainable solutions. As a Staff Software Engineer – AI Agents, you will play a critical and strategic role in shaping our next generation of intelligent, conversational, and task-driven products.
This is a hands-on technical leadership role—you will architect, build, and deliver production-grade AI agent capabilities across our software ecosystem, while also setting the long-term technical direction and engaging in R&D-style innovation. You will work closely with product, design, and other engineering teams to ensure our AI solutions are reliable, scalable, and truly impactful for our customers.
We are looking for someone who thrives in environments where deep technical expertise, strategic thinking, and execution excellence intersect.
Key Responsibilities
- Lead the design, architecture, and development of AI agent platforms and tools, including multi-modal interactions, multi-agent orchestration, memory systems, long running tasks, and other agentic AI fundamentals.
- Set technical direction for AI-powered systems, balancing near-term delivery with long-term scalability and maintainability.
- Partner with cross-functional leaders to identify high-impact opportunities for AI agent integration across products and workflows.
- Build backend services and APIs (primarily in Python with FastAPI) to support agent orchestration, memory, and secure tool access.
- Develop and integrate vector databases, embeddings, and semantic search capabilities to enhance agent intelligence.
- Drive technical excellence in system performance, reliability, observability, and security.
- Mentor engineers across teams, fostering growth in AI, backend architecture, and software craftsmanship.
- Conduct hands-on prototyping and R&D to explore new AI capabilities and frameworks, validating technical feasibility and product fit.
Required Qualifications
- 5+ years of professional software engineering experience, including designing and delivering production systems at scale.
- 1+ years of experience working with LLMs or building and deploying machine learning models.
- Proven technical leadership in driving architecture, guiding teams, and delivering complex projects end-to-end.
- Strong backend development experience in Python (FastAPI strongly preferred).
- Experience integrating with LLM APIs (e.g., OpenAI, Claude, AWS Bedrock, Vertex AI), vector databases, and RAG pipelines.
- Familiarity with MCP and multi-agent frameworks.
- Deep understanding of system design, distributed systems, and architectural trade-offs.
- Excellent communication skills, able to convey complex technical ideas to diverse stakeholders.
Preferred Skills
- Experience building production AI agents or agent frameworks.
- Familiarity with AWS services for scalable backend deployment
- Experience with AI observability, MLOps, and CI/CD for AI pipelines.
Soft Skills & Cultural Fit
- Collaborative and mentoring mindset, helping others level up technically.
- Strong problem-solving ability—able to break down complexity into actionable steps.
- Customer-focused approach, aligning engineering decisions with end-user value.
Why This Role Matters
This is not just another engineering role—it’s a pivotal position in shaping GoodLeap’s AI strategy and product capabilities. The AI agents you build will directly empower customers, drive adoption of sustainable solutions, and help define the future of our software ecosystem. You’ll have the freedom to innovate, the support to deliver, and the opportunity to leave a lasting impact on our products and mission.
Additional Information Regarding Job Duties and Job Descriptions:
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.
If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!
We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our Employment Privacy Policy and Recruiting Policy on AI.
GoodLeap San Francisco, California, USA Office
500 2nd St, San Francisco, CA, United States, 94107
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
